Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Nasser, Sahar"'
Autor:
Nasser, Sahar Almahfouz, Sharma, Ashutosh, Saraf, Anmol, Parulekar, Amruta Mahendra, Haria, Purvi, Sethi, Amit
Ultrasound (US) imaging is better suited for intraoperative settings because it is real-time and more portable than other imaging techniques, such as mammography. However, US images are characterized by lower spatial resolution noise-like artifacts.
Externí odkaz:
http://arxiv.org/abs/2308.05449
Retinal image matching plays a crucial role in monitoring disease progression and treatment response. However, datasets with matched keypoints between temporally separated pairs of images are not available in abundance to train transformer-based mode
Externí odkaz:
http://arxiv.org/abs/2307.10698
The effective localization of mitosis is a critical precursory task for deciding tumor prognosis and grade. Automated mitosis detection through deep learning-oriented image analysis often fails on unseen patient data due to inherent domain biases. Th
Externí odkaz:
http://arxiv.org/abs/2209.09193
We present WSSAMNet, a weakly supervised method for medical image registration. Ours is a two step method, with the first step being the computation of segmentation masks of the fixed and moving volumes. These masks are then used to attend to the inp
Externí odkaz:
http://arxiv.org/abs/2203.07114
Autor:
Ghasoub, Rola, Elazzazy, Shereen, Benkhadra, Maria, Kassem, Nancy, Cherif, Honar, Gaziev, Javid, Elsabah, Hesham, Nasser, Sahar, Hamad, Anas
Publikováno v:
In Journal of the American Pharmacists Association September-October 2024 64(5)
Capturing high-resolution magnetic resonance (MR) images is a time consuming process, which makes it unsuitable for medical emergencies and pediatric patients. Low-resolution MR imaging, by contrast, is faster than its high-resolution counterpart, bu
Externí odkaz:
http://arxiv.org/abs/2201.09314
Autor:
Baheti, Bhakti, Chakrabarty, Satrajit, Akbari, Hamed, Bilello, Michel, Wiestler, Benedikt, Schwarting, Julian, Calabrese, Evan, Rudie, Jeffrey, Abidi, Syed, Mousa, Mina, Villanueva-Meyer, Javier, Fields, Brandon K. K., Kofler, Florian, Shinohara, Russell Takeshi, Iglesias, Juan Eugenio, Mok, Tony C. W., Chung, Albert C. S., Wodzinski, Marek, Jurgas, Artur, Marini, Niccolo, Atzori, Manfredo, Muller, Henning, Grobroehmer, Christoph, Siebert, Hanna, Hansen, Lasse, Heinrich, Mattias P., Canalini, Luca, Klein, Jan, Gerken, Annika, Heldmann, Stefan, Hering, Alessa, Hahn, Horst K., Meng, Mingyuan, Bi, Lei, Feng, Dagan, Kim, Jinman, Zeineldin, Ramy A., Karar, Mohamed E., Mathis-Ullrich, Franziska, Burgert, Oliver, Abderezaei, Javid, Pionteck, Aymeric, Chopra, Agamdeep, Kurt, Mehmet, Yan, Kewei, Yan, Yonghong, Tang, Zhe, Ma, Jianqiang, Nasser, Sahar Almahfouz, Kurian, Nikhil Cherian, Meena, Mohit, Shamsi, Saqib, Sethi, Amit, Tustison, Nicholas J., Avants, Brian B., Cook, Philip, Gee, James C., Tian, Lin, Greer, Hastings, Niethammer, Marc, Hoopes, Andrew, Hoffmann, Malte, Dalca, Adrian V., Christodoulidis, Stergios, Estiene, Theo, Vakalopoulou, Maria, Paragios, Nikos, Marcus, Daniel S., Davatzikos, Christos, Sotiras, Aristeidis, Menze, Bjoern, Bakas, Spyridon, Waldmannstetter, Diana
Registration of longitudinal brain MRI scans containing pathologies is challenging due to dramatic changes in tissue appearance. Although there has been progress in developing general-purpose medical image registration techniques, they have not yet a
Externí odkaz:
http://arxiv.org/abs/2112.06979
Autor:
Martens, Maria, Nasser, Sahar
Introduktion Ett allvarligt problem för nyblivna mödrar världen över är risken att drabbas av förlossningsdepression som i medicinska termer har namnet Postpartumdepression och kan förkortas som PPD. Forskning visar att många kvinnor lider av
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-32103
We introduce a machine learning-based method for fully automated diagnosis of sickle cell disease of poor-quality unstained images of a mobile microscope. Our method is capable of distinguishing between diseased, trait (carrier), and normal samples u
Externí odkaz:
http://arxiv.org/abs/2103.16285
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.